• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.470-473
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• 1990

In this thesis, the recognition method of the movement of an 3D object is presented. The information about the movement of a 3D object is used to recognize the object. There are 2 kinds of movements which are translation and rotation. A difference picture is obtained from a sequence of images of a moving object or a scene which is taken by a monocular stationary observer. The 3D movement of an object is recognized by the Artificial Neural Network(ANN) using the difference picture.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.8
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• pp.2025-2031
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• 1998

In moving picture coding standard MPEG2, a bit rate control system plays a key role for the compressing ratio and picture quality. We proposed a bit rate control scheme which assigns more bits to I, P frames and uses the average MQUANT of previous mackoblocks. The proposed scheme showed about 0.9dB improvement of image quality when compared to bit rate control method of MPEG2 Test-Model5.

• ETRI Journal
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• v.31 no.2
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• pp.151-161
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• 2009

In this paper, we propose an adaptive multiview video coding scheme based on spatiotemporal correlation analyses using hierarchical B picture (AMVC-HBP) for the integrative encoding performances, including high compression efficiency, low complexity, fast random access, and view scalability, by integrating multiple prediction structures. We also propose an in-coding mode-switching algorithm that enables AMVC-HBP to adaptively select a better prediction structure in the encoding process without any additional complexity. Experimental results show that AMVC-HBP outperforms the previous multiview video coding scheme based on H.264/MPEG-4 AVC using the hierarchical B picture (MVC-HBP) on low complexity for 21.5%, on fast random access for about 20%, and on view scalability for 11% to 15% on average. In addition, distinct coding gain can be achieved by AMVC-HBP for dense and fast-moving sequences compared with MVC-HBP.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.5
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• pp.849-855
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• 1987

This paper describes an implementation of the absolute moment block truncation coding(AMBTC) in real time for the moving picture data compression. We have realized a system composed of the encoder and decoder, and operated it using an NTSC TV signal. The encoder consists of a 4-1line buffer memory and a data processing block. Besides, there are signal conditioner and a control signal generator. Experimental results show that the quality of the processed image with a data rate of 10Mb/s is slightly degraded, but not objectionable, comparing data rate of 80Mb/s.

• Journal of Digital Contents Society
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• v.5 no.1
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• pp.79-86
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• 2004

In this paper we implemented the Real Time Contrast Enhancer for image quality enhancement of moving picture. Also we proposed adaptive contrast method that use mean and variance of input video signal. The Designed the contrast Enhancer is measured in comparison with conventional picture and interfaced to 30inch TFT LCD TV of the LG Electronics.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.815-817
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• 2022

포인트 클라우드는 다수의 포인트로 구성된 3차원 미디어 콘텐츠로, 기존의 2차원 미디어에 비해 방대한 크기를 가진다. 이러한 포인트 클라우드 데이터를 효과적으로 소비하기 위해서는 포인트 클라우드 데이터를 압축하는 것이 필수적으로 요구된다. 이에 따라, 국제 표준화 기구 The Moving Picture Experts Group (MPEG)에서는 2차원 비디오 코덱 기반의 포인트 클라우드 압축 방안인 V-PCC 압축 방안과, V-PCC 비트스트림을 저장하고 전송하기 위한 ISOBMFF 캡슐화 방안에 대한 표준화가 진행되고 있다. V-PCC는 기존의 2차원 비디오 코덱을 이용하기 위해 3차원 포인트 클라우드 데이터를 투영하여 2차원 패치를 생성하고, 생성된 패치를 2차원 그리드에 배치하여 2차원 이미지를 생성한다. 이 때, 생성되는 2차원 이미지는 패치의 모양 차이와 인코딩의 효율성 때문에 Group of Picture(GOP)마다 다른 크기를 갖는다. 이러한 이미지 크기의 차이는 반복적인 디코더 초기화를 유발하여 송신기와 수신기 모두에 큰 부담을 발생시킨다. 이에 본 논문에서는 비트레이트와 메타데이터를 적응적으로 제어하여 V-PCC 비트스트림을 반복적인 디코더 초기화 없이 안정적으로 송수신 하기 위한 Global grid 기반 V-PCC 전송 방안을 제안한다.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.289-299
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• 2018

The 360 degree panoramas are picture of a wide range of images on one screen, so we can see a fairly wide range at a time. In particular, cylinderical panoramas are the most widely used spherical image, and its left and right viewing angles reach 360 degree, so you can observe front, rear, left, and right at once. Using 360 degree panorama, all directions can be monitored at the same time, so all directions can be effectively monitored compared to other methods. In this paper, we develop a system to recognize and track the movement of moving objects on a 360 degree panorama, and then present and verify the experimental results. For this goals, first, we developed a system to recognize moving objects in 360 degree panorama using DoF(Difference of Frame) algorithm. Second, based on the TLD algorithm, we developed an application that can track a specific single moving object in a 360 degree panorama and presented the experimental results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.4
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• pp.346-360
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• 1992

This paper proposed a method of identity decision of moving object by the fuzzy inference. Moving object is extracted by the difference picture method and identity decision parameters of moving object are chosen area, perimeter. A/p ratio and vertex. In the brightness variation of 600 Lux-1600Lux, we determined the maximum error often parameters and then generated a fuzzified data. Fuzzified data are generated from the reference image and then decided the identity of extracted parameter by the fuzzy inference using fuzzy production rule. In order to verify validity of proposed method, experiment are performed with a toy car. As a result, it was shown that decision error was less than 4%

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.47 no.4
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• pp.1-6
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• 2010

We can see the motion blur phenomenon on theedge of the moving picture when it moves in the LCDs. To reduce this phenomenon, we suggested a new over-deriving method, implemented on the board XUP Virtex-2 Pro Development System by using Virtex-2 Pro XUP XC2VP30 and improved the Motion Blur. In this method, we did not use additional parts except for a SDRAM. Hardware implementation for IP and data interface were handled in software. In this paper, we used the moving bar and the moving video image as a design model. We also showed that the afterimage was reduced and the vivid moving images was displayed. through this method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.2
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• pp.160-168
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• 2001

Change detection using difference picture has been used to detect the location of moving targets and to track them. This method needs the assumption of static camera, and the global motion compensation is required in case of a moving camera. This paper suggests a method for finding a minimum bounding rectangles(MBR) of moving targets in the image sequences using moving region detection, especially with a moving camera. If the global motion parameter is inaccurately estimated, the estimated locations of targets will be accurate either To alleviate this problem, we introduce the concept of the confidence measure and achieve more accurate estimation of global motion. Experimental results show that the proposed method successfully removes background region and extracts MBRs of the targets. Even with a moving camera, the new global motion estimation algorithm performs more precise]y and it reduces the background compensation errors of change detection.